Portfolio selection methods and efficiency research

The purpose of this article is to examine how to use the most effective methods to build a portfolio in the face of todays rapid growth in the field of artificial intelligence. The field of Artificial Intelligence is one of the most talked about areas in the world today and one that has changed a lot in recent years. The author will analyze the competitiveness of Nvidia.Corp, Apple.Inc amd Microsoft. Corporations use analytical models related to the stock market and combine positive and negative news about well-known companies in the relevant field to see if they are competitive enough to be added to a portfolio. Ultimately, the efficiency of these methods in terms of revenue is assessed through the final returns. Through evaluation, investors can choose the most reliable model to analyze the direction of stock prices and the value of companies in the process of completing the construction of portfolios.